code: def make_objectives() -> (
      Tuple[
          Sequence[mompo.RewardObjective],
          Sequence[mompo.QValueObjective],
      ]
  ):
      """Define the multiple objectives for the policy to learn."""
      task_reward = mompo.RewardObjective(
          name="task", reward_fn=task_reward_fn
      )
      action_norm = mompo.QValueObjective(
          name="action_norm_q", qvalue_fn=compute_action_norm
      )
      return [task_reward], [action_norm]
  
file_path: acme/acme/agents/tf/mompo/agent_test.py
imports: from typing import Dict, Sequence, Tuple
  import acme
  from acme import specs
  from acme.agents.tf import mompo
  from acme.testing import fakes
  from acme.tf import networks
  import numpy
  import sonnet
  import tensorflow
  from absl.testing import absltest
  from absl.testing import parameterized
label_desc: Use image node_id 4 for calling a global function with example usage: make_objectives() and returns: list,  list